An Intelligent Multi-Sensor Surveillance System for Elderly Care

Abstract

This paper is an overview of our on-going project that proposes a monitoring system based on various sensors to detect risky situations for the elderly. From the standpoint of the end-user, a video surveillance system equipped with many other sensors can relieve caregivers from the need to keep a vigilant eye on each patient’s movements, while such technology can be effectively used for monitoring elderly people with dementia. Since a camera surveillance system has limits to classify complex human actions, this project aims to design an intelligent healthcare surveillance system, which extends the conventional automated video surveillance system with various additional sensors, to improve the performance of surveillance. The main contributions of our proposed system will be to: (i) minimize human intervention; (ii) detect more complex activities and situations using various sensors and improved sensor fusion techniques; and (iii) design a novel classifier that identifies risky situations with the collected information.